fixest::setFixest_dict(
    syear = "Year",
    sex = "Female",
    brown_dummy = "Brown job",
    post_2015 = "2016+",
    far_right = "Far-right",
    brown_dummy_2015 = "Brown job",
    state = "State",
    pid = "Individual",
    east_2015 = "East",
    has_abitur_2015 = "Abitur",
    has_higher_ed_2015 = "Higher ed.",
    female = "Female",
    female_2015 = "Female",
    age = "Age",
    monthly_income = "Monthly income",
    isced97 = "ISCED",
    `as.factor(isced97)5` = "ISCED 5",
    `as.factor(isced97)6` = "ISCED 6",
    `as.factor(isced97)1` = "ISCED 1",
    `as.factor(isced97)2` = "ISCED 2",
    `as.factor(isced97)3` = "ISCED 3",
    `as.factor(isced97)4` = "ISCED 4",
    isei_combined = "ISEI",
    worried_migration = "Worried: migration",
    age_above_50_2015 = "Above 50",
    manufacturing_job_2015 = "Manuf. job",
    income_above_med_2015 = "High income",
    worried_job_security_above_med_2015 = "Worried: job security",
    worried_finances_above_med_2015 = "Worried: own economic situation",
    worried_migration_above_med_2015 = "Worried: migration",
    satisf_work = "Satisfaction: work",
    worried_job_security = "Worried: job security",
    worried_econ_dev = "Worried: general economic situation",
    worried_finances = "Worried: own economic situation",
    satisf_hh_income = "Satisfaction: household income",
    satisf_ind_income = "Satisfaction: individual income",
    partisan = "Supports any party",
    iss1 = "Status in social environment",
    iss2 = "Status in Germany"
)
